QuantileGpois

This function evaluates the generalized Poisson quantile \(Q(p)\) by
incrementally constructing the PMF and CDF from \(x=0\) upward until the
CDF exceeds the largest requested probability in <code>p</code>. The returned
quantile(s) are the smallest integer \(x\) such that \(P(X \le x) \ge p\).

Generate multivariate discrete data with generalized Poisson, negative binomial and binomial marginal distributions using user-specified distribution parameters and a target correlation matrix. The method is described in Cheng and Demirtas (2026) <doi:10.48550/arXiv.2602.07707>.

Chak Kwong (Tommy) Cheng

MultiDiscreteRNG

Generate Multivariate Discrete Data

Hakan Demirtas

QuantileGpois function

<dl><dt>p</dt>
<dd>vector of probabilities</dd>
<dt>theta</dt>
<dd>vector of theta</dd>
<dt>lambda</dt>
<dd>vector of lambda</dd>
<dt>details</dt>
<dd>A logical flag to return the computational details</dd></dl>

Arguments

Compute the quantile function of the generalized Poisson distribution — QuantileGpois

<dl>

<dt>p</dt>
<dd>vector of probabilities</dd>


<dt>theta</dt>
<dd>vector of theta</dd>


<dt>lambda</dt>
<dd>vector of lambda</dd>


<dt>details</dt>
<dd>A logical flag to return the computational details</dd>

</dl>

QuantileGpois: Compute the quantile function of the generalized Poisson distribution

Description

Usage

Value

Arguments

Examples